Query Performance

There are several factors related to optimal query performance.

Optimized Data Model

Izenda moves as fast as your data allows.

Izenda leverages directly off reporting databases. Izenda by default does not store any data and is, therefore, a query executor and performs as efficiently as the databases that it sits on top of.
As of v3.3.0, Izenda provides an optional caching layer to improve performance, but this will store data either on the disk itself or in memory.
Provide views and stored procedures at the database layer whenever possible to streamline complex queries and data setup. Izenda allows for similar functionality to be built on-the-fly but this will ensure that the performance is specifically tailored to your data.

Izenda allows users to connect to multiple databases and create relationships between them through a method known as Izenda Fusion.

Databases are not required to be on the same machine since each database has it’s own unique connection string
Databases do *not* have to be of the same type. For instance, you can “fuse” a MySQL Database with an Microsoft SQL Database.
Izenda’s Fusion engine leverages asynchronous querying in tandem with in memory query tree and map reduce technologies. This enables fast cross database querying and multi-step calculations.
Izenda can connect to and query multiple databases asynchronously, and then aggregate returned data in memory before sending to client for rendering.